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kssrikar4
/
AVP-ESM2-8m

Token Classification
Transformers
Safetensors
esm
text-classification
virulence-prediction
biology
bioinformatics
microbiology
Model card Files Files and versions
xet
Community

Instructions to use kssrikar4/AVP-ESM2-8m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kssrikar4/AVP-ESM2-8m with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="kssrikar4/AVP-ESM2-8m")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("kssrikar4/AVP-ESM2-8m")
    model = AutoModelForSequenceClassification.from_pretrained("kssrikar4/AVP-ESM2-8m", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
AVP-ESM2-8m
30.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
kssrikar4's picture
kssrikar4
Re-executed training for consistency
521f5c9 8 months ago
  • .gitattributes
    1.56 kB
    Upload 5 files 12 months ago
  • README.md
    7.02 kB
    Update README.md 12 months ago
  • alp.png
    45.9 kB
    Re-executed training for consistency 8 months ago
  • config.json
    804 Bytes
    Re-executed training for consistency 8 months ago
  • model.safetensors
    30.1 MB
    xet
    Re-executed training for consistency 8 months ago
  • special_tokens_map.json
    132 Bytes
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  • test.png
    26.4 kB
    Re-executed training for consistency 8 months ago
  • tokenizer_config.json
    1.21 kB
    Re-executed training for consistency 8 months ago
  • tsne.png
    177 kB
    xet
    Re-executed training for consistency 8 months ago
  • umap.png
    53.5 kB
    Re-executed training for consistency 8 months ago
  • validation.png
    20.5 kB
    Re-executed training for consistency 8 months ago
  • vocab.txt
    125 Bytes
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